Yao Zhao

According to our database, Yao Zhao authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework.

Maolin Wang, Jun Chu, Sicong Xie, Xiaoling Zang, Yao Zhao, Wenliang Zhong, Xiangyu Zhao

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

CSR: Achieving 1 Bit Key-Value Cache via Sparse Representation.

Hongxuan Zhang, Yao Zhao, Jiaqi Zheng, Chenyi Zhuang, Jinjie Gu, Guihai Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation.

Hongxuan Zhang, Yao Zhao, Jiaqi Zheng, Chenyi Zhuang, Jinjie Gu, Guihai Chen

CoRR, 2024

Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction.

Yao Zhao, Zhining Liu, Tianchi Cai, Haipeng Zhang, Chenyi Zhuang, Jinjie Gu

CoRR, 2024

EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems.

Sheng Zhang, Maolin Wang, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao, Zijian Zhang, Hongzhi Yin

CoRR, 2024

Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation.

Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Tensorized Hypergraph Neural Networks.

Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems.

Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy.

Yao Zhao, Zhitian Xie, Chen Liang, Chenyi Zhuang, Jinjie Gu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy.

Yao Zhao, Zhitian Xie, Chenyi Zhuang, Jinjie Gu

CoRR, 2023

Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup.

Maolin Wang, Yao Zhao, Jiajia Liu, Jingdong Chen, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao

CoRR, 2023

On the Opportunities of Green Computing: A Survey.

You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng

CoRR, 2023

2022

Multiple Instance Learning for Uplift Modeling.

Yao Zhao, Haipeng Zhang, Shiwei Lyu, Ruiying Jiang, Jinjie Gu, Guannan Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022